Triple

T9425683
Position Surface form Disambiguated ID Type / Status
Subject Sheila E. E227257 entity
Predicate associatedAct P37 FINISHED
Object George Duke E735689 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: George Duke | Statement: [Sheila E., associatedAct, George Duke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Duke
Context triple: [Sheila E., associatedAct, George Duke]
  • A. George Duke chosen
    George Duke was an influential American keyboardist, composer, and producer known for his work in jazz fusion, funk, and R&B, as well as collaborations with numerous prominent artists.
  • B. Robert Dukes
    Robert Dukes is an author best known for writing the second installment of the "Bound" series.
  • C. Edward King
    Edward King is a writer best known for authoring the work associated with the title "All Summer Long."
  • D. Frank Windsor
    Frank Windsor was a British character actor best known for his television work, particularly in police dramas such as "Z-Cars" and its spin-offs.
  • E. Nicholas of Guildford
    Nicholas of Guildford is a medieval English writer believed by some scholars to be the author of the Middle English debate poem *The Owl and the Nightingale*.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c8f59dc8190854dfc0d287731c6 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107da6aa88190a015ee4a6eea2a4a completed April 4, 2026, 12:45 p.m.
Created at: March 30, 2026, 7:49 p.m.